Journal article | Zeitschriftenartikel

Structural estimation of jump-diffusion processes in macroeconomics

This paper shows how to solve and estimate a continuous-time dynamic stochastic general equilibrium (DSGE) model with jumps. It also shows that a continuous-time formulation can make it simpler (relative to its discrete-time version) to compute and estimate the deep parameters using the likelihood function when non-linearities and/or non-normalities are considered. We illustrate our approach by solving and estimating the stochastic AK and the neoclassical growth models. Our Monte Carlo experiments demonstrate that non-normalities can be detected for this class of models. Moreover, we provide strong empirical evidence for jumps in aggregate US data.

Structural estimation of jump-diffusion processes in macroeconomics

Urheber*in: Posch, Olaf

Free access - no reuse

Extent
Seite(n): 196-210
Language
Englisch
Notes
Status: Postprint; begutachtet (peer reviewed)

Bibliographic citation
Journal of Econometrics, 153(2)

Classification
Estimation: General
Subject
Wirtschaft
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Volkswirtschaftslehre

Event
Geistige Schöpfung
(who)
Posch, Olaf
Event
Veröffentlichung
(where)
Niederlande
(when)
2009

DOI
URN
urn:nbn:de:0168-ssoar-255082
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:27 PM CEST

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Object type

  • Zeitschriftenartikel

Associated

  • Posch, Olaf

Time of origin

  • 2009

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